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Optimization Modeling Jobs (NOW HIRING)

Sparc Technology Services Inc

Quintiq Lead

TX · On-site

$60 - $65/hr

Remote Duration: 12+ Months Optimization Modeling: Translate complex, real-world business constraints and rules into mathematical models and algorithms using the Quintiq Modeler. * Algorithm ...

Puma Energy

Optimization Engineer

Houston, TX · On-site

$100 - $125/hr

Key Responsibilities Splitter Asset Optimization (approx. 50%) Run and maintain LP-based optimization models for the splitter asset to identify margin-maximizing feed selection, product yields, and ...

Trafigura

Optimization Engineer

Houston, TX · Hybrid

Run and maintain LP-based optimization models for the splitter asset to identify margin-maximizing feed selection, product yields, and operating configurations. * Evaluate operational and structural ...

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Optimization Modeling information

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How much do optimization modeling jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for optimization modeling in the United States is $67.61, according to ZipRecruiter salary data. Most workers in this role earn between $59.86 and $76.68 per hour, depending on experience, location, and employer.

What is optimization modeling?

Optimization modeling is the process of creating mathematical models to find the best possible solution from a set of available alternatives, subject to certain constraints. These models help organizations and individuals make decisions that maximize or minimize specific objectives, such as cost, profit, or efficiency. Optimization modeling is widely used in industries like logistics, finance, manufacturing, and energy to solve complex problems and improve operations.

What are the key skills and qualifications needed to thrive as an optimization modeling specialist?

To thrive as an Optimization Modeling Specialist, you need strong analytical skills, a solid understanding of mathematical optimization techniques, and a degree in operations research, mathematics, or a related field. Familiarity with optimization software (such as CPLEX, Gurobi, or MATLAB), programming languages (like Python or R), and experience with data analysis tools are typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills help distinguish top performers in this field. These competencies are crucial for designing efficient models, interpreting results accurately, and communicating solutions to stakeholders for informed decision-making.

What are some common challenges faced by professionals working in optimization modeling, and how can they be addressed?

Professionals in optimization modeling often encounter challenges such as handling complex, large-scale datasets, ensuring model accuracy, and meeting tight project deadlines. Additionally, translating real-world problems into mathematical models can be difficult due to incomplete data or ambiguous requirements. These challenges can be addressed by collaborating closely with domain experts, using advanced computational tools, and employing robust validation techniques to ensure models are both practical and reliable.

What is the difference between Optimization Modeling vs Data Analyst?

AspectOptimization ModelingData Analyst
CredentialsDegree in Operations Research, Industrial Engineering, or related fieldsDegree in Statistics, Data Science, or related fields
Work EnvironmentFocus on mathematical modeling, algorithm development, and problem-solvingData collection, analysis, visualization, and reporting
Industry UsageSupply chain, logistics, manufacturing, financeMarketing, business intelligence, finance, healthcare

Optimization Modeling specialists develop mathematical models to find the best solutions for complex problems, often in operations and logistics. Data Analysts interpret data to inform business decisions through analysis and visualization. While both roles work with data, Optimization Modeling emphasizes mathematical problem-solving, whereas Data Analysts focus on data interpretation and reporting.

What do optimization modeling do?

Optimization modeling involves creating mathematical models to find the best solutions for complex problems, such as minimizing costs or maximizing efficiency. Professionals in this field develop and analyze models using tools like linear programming and software such as Excel or specialized optimization software. They often work in industries like logistics, finance, or manufacturing to improve decision-making processes.

What other helpful pages are available for Optimization Modeling?

Other pages related to Optimization Modeling:

Infographic showing various Optimization Modeling job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $140,621 per year, or $67.6 per hour.

Principal Model Optimization Engineer

San Mateo, CA

Roblox
Software Development • 51 - 200 employees
Learn more about Robloxexternal

Full-time

Re-posted 6 days ago

Job description

ML Platform @ Roblox today supports hundreds of ML use cases and billions of inferences per day across Discovery, Safety, Engine, and much more. As a Model Optimization engineer on ML Platform, you will be responsible for digging deep into model internals to optimize performance, for both training and inference. We are looking for accomplished engineers to help us maximize performance of our platform.

You Will:

  • Optimize machine learning models for performance on GPU architectures, focusing on both training and inference workflows.
  • Conduct low-level performance profiling analysis to identify bottlenecks in existing machine learning pipelines and propose actionable improvements.
  • Contribute to the development of best practices and tooling for model optimization and deployment.
  • Collaborate with cross-functional teams, including data scientists and software engineers, to integrate and deploy optimized models into production environments.
  • Partner across organizations to build tooling, interfaces, and visualizations that make the ML@Roblox a delight to use.

You Have: 

  • 6+ years of professional experience and a tool chest of system design experience upon which to draw to build performant systems for all of Roblox.
  • Have significant experience debugging GPUs - reading GPU profiles, debugging Xid errors, etc.
  • Proficient in advanced tools and frameworks (e.g., CUDA, Triton, TensorRT) to enhance model execution speed and reduce latency.
  • Experience with model optimization techniques for LLMs, such as speculative decoding, continuous batching, quantization, etc.
  • A performance nut; you love pushing the limits of what's possible, whether it's squeezing every last ounce of efficiency from a GPU, fine-tuning algorithms for peak speed, or innovating new techniques to enhance model performance
  • A generalization advocate: you're passionate about building tools and frameworks that consistently deliver improvements in model performance.
  • Passionate about supporting internal partners (data scientists and ML Engineers) to meet and understand their needs.
  • A Bachelor's degree in Computer Science, Computer Engineering, Data Science, or a similar technical field.

Apply